biweight_filter: biweight_filter
In Mufabo/Rrobustsp: Robust Signal Processing
View source: R/SpectrumEstimation_biweight_filter.R
biweight_filter R Documentation
biweight_filter
Description
The biweight_filter(x) is our implementation of the
method described in
Usage
biweight_filter(x)
Arguments
x:
data (observations/measurements/signal), real-valued vector
Details
"High breakdown methods of time series analysis.
Tatum, L.G., and Hurvich, C. M.
Journal of the Royal Statistical Society. Series B (Methodological),
pp. 881-896, 1993.
The code is based on an implementation by Falco Strasser, Signal Processing
Group, TU Darmstadt, October 2010.
Value
xFBi: Biweight filtered (outlier cleaned) signal
ABi: Fourier coefficients for cosine
BBi: Fourier coefficients for sine
Note
ATM takes forever
File location: SpectrumEstimation_biweight_filter.R
References
"Robust Statistics for Signal Processing"
Zoubir, A.M. and Koivunen, V. and Ollila, E. and Muma, M.
Cambridge University Press, 2018.
Mufabo/Rrobustsp documentation built on June 11, 2022, 10:41 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/SpectrumEstimation_biweight_filter.R
| biweight_filter | R Documentation |
biweight_filter
Description
The biweight_filter(x) is our implementation of the method described in
Usage
biweight_filter(x)
Arguments
x: |
data (observations/measurements/signal), real-valued vector |
Details
"High breakdown methods of time series analysis. Tatum, L.G., and Hurvich, C. M. Journal of the Royal Statistical Society. Series B (Methodological), pp. 881-896, 1993.
The code is based on an implementation by Falco Strasser, Signal Processing Group, TU Darmstadt, October 2010.
Value
xFBi: Biweight filtered (outlier cleaned) signal
ABi: Fourier coefficients for cosine
BBi: Fourier coefficients for sine
Note
ATM takes forever File location: SpectrumEstimation_biweight_filter.R
References
"Robust Statistics for Signal Processing" Zoubir, A.M. and Koivunen, V. and Ollila, E. and Muma, M. Cambridge University Press, 2018.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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